Instructions to use LSimmons/FragZONFactMetaRecommendationHyperParamSearch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LSimmons/FragZONFactMetaRecommendationHyperParamSearch with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="LSimmons/FragZONFactMetaRecommendationHyperParamSearch")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("LSimmons/FragZONFactMetaRecommendationHyperParamSearch") model = AutoModelForSequenceClassification.from_pretrained("LSimmons/FragZONFactMetaRecommendationHyperParamSearch") - Notebooks
- Google Colab
- Kaggle
Training in progress, epoch 1
Browse files- pytorch_model.bin +1 -1
- training_args.bin +1 -1
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 1343090414
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:de2864752486413f3d8578537be6ccf09759c81fe495feb892ef03688685e4cb
|
| 3 |
size 1343090414
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 4600
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:64776378ef0521c3173bece447ceb1924af11aea66986d3d87a1b41cacb19b76
|
| 3 |
size 4600
|